Evidence map›Paper›PMID 24333875›Full record

ArticleJournal of biomedical informatics2014

From expert-derived user needs to user-perceived ease of use and usefulness: a two-phase mixed-methods evaluation framework.

Mary Regina Boland, Alexander Rusanov, Yat So, Carlos Lopez-Jimenez, Linda Busacca, Richard C Steinman, Suzanne Bakken, J Thomas Bigger, Chunhua Weng

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Development of an Evaluation Framework for Health Information Systems (DIPSA).Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Using software to elicit user needs for clinical research visit scheduling.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mary Regina BolandDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Alexander RusanovDepartment of Anesthesiology, Columbia University, New York, NY, USA.
Yat SoDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Carlos Lopez-JimenezDepartment of Medicine, Division of Cardiology, Columbia University, New York, NY, USA.
Linda BusaccaThe Clinical Trials Office, Columbia University, New York, NY, USA.
Richard C SteinmanDepartment of Medicine, Division of Cardiology, Columbia University, New York, NY, USA; The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA.
Suzanne BakkenDepartment of Biomedical Informatics, Columbia University, New York, NY, USA; School of Nursing, Columbia University, New York, NY, USA; The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA.
J Thomas BiggerDepartment of Medicine, Division of Cardiology, Columbia University, New York, NY, USA; The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY, USA; The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA. Electronic address: cw2384@columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Washington Heights Initiative Community-based Comparative Effectiveness ResearchR01HS019853 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2010 to 2010
$8.9M
ANESTHESIOLOGY RESEARCH TRAININGT32GM008464 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CHARLES W EMALA, May Hua · 1992 to 2026
$6.0M
Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020
$5.3M
Developing Flexible EHR Plug-ins to Re-Engineer Clinical Care and Research WorkflowsR01LM010815 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOMMA, SHUNICHI, WENG, CHUNHUA · 2010 to 2013
$1.9M
AHRQ HHS R01 HS019853AHRQ HHS R01HS019853NCATS NIH HHS UL1 TR000040NIGMS NIH HHS T32 GM008464NLM NIH HHS R01 LM009886NLM NIH HHS R01LM009886NLM NIH HHS R01 LM010815NLM NIH HHS R01LM010815
6 · The paper itself

Abstract

Underspecified user needs and frequent lack of a gold standard reference are typical barriers to technology evaluation. To address this problem, this paper presents a two-phase evaluation framework involving usability experts (phase 1) and end-users (phase 2). In phase 1, a cross-system functionality alignment between expert-derived user needs and system functions was performed to inform the choice of "the best available" comparison system to enable a cognitive walkthrough in phase 1 and a comparative effectiveness evaluation in phase 2. During phase 2, five quantitative and qualitative evaluation methods are mixed to assess usability: time-motion analysis, software log, questionnaires - System Usability Scale and the Unified Theory of Acceptance of Use of Technology, think-aloud protocols, and unstructured interviews. Each method contributes data for a unique measure (e.g., time motion analysis contributes task-completion-time; software log contributes action transition frequency). The measures are triangulated to yield complementary insights regarding user-perceived ease-of-use, functionality integration, anxiety during use, and workflow impact. To illustrate its use, we applied this framework in a formative evaluation of a software called Integrated Model for Patient Care and Clinical Trials (IMPACT). We conclude that this mixed-methods evaluation framework enables an integrated assessment of user needs satisfaction and user-perceived usefulness and usability of a novel design. This evaluation framework effectively bridges the gap between co-evolving user needs and technology designs during iterative prototyping and is particularly useful when it is difficult for users to articulate their needs for technology support due to the lack of a baseline.

Indexed as

Biomedical ResearchMedical InformaticsNeeds AssessmentClinical Trials as TopicEvaluation Studies as TopicHumansClinical trialsEvaluation studiesMedical informaticsNeeds assessmentWorkflow

Identifiers

PMID24333875
PMCPMC4055529

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.